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Название: Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning
Год: 2017
Издатель: Apress
Язык: english
Кол-во страниц: 219
Формат: PDF
Описание:
The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools.
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Название: Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning
Год: 2017
Издатель: Apress
Язык: english
Кол-во страниц: 219
Формат: PDF
Описание:
The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools.
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